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解缠彩色与保真,以完整统计描述颜色质量。

De-entangling colorfulness and fidelity for a complete statistical description of color quality.

机构信息

IREC, Catalonia Institute for Energy Research, Sant Adrià de Besòs, Barcelona 08930, Spain.

出版信息

Opt Lett. 2012 Dec 1;37(23):4997-9. doi: 10.1364/OL.37.004997.

Abstract

In this Letter, the main attributes known to affect color quality are treated statistically over a set of 118 spectra representing the current mainstream lighting technology. The color rendering index (CRI) is used to assess color fidelity while colorfulness is used to complement CRI-R(a), supported by the growing evidence that assessment of light spectra cannot overlook color preference inputs. Colorfulness is evaluated by our optimal color (O(c)) index, through a code that computes the (MacAdam) theoretical maximum volumetric gamut of objects under a given illuminant for all the spectra in our database. Pearson correlation coefficients for CRI-R(a), the (Y. Ohno's) color quality scale (CQS) and O(c) show a high correlation (0.950) between CRI-R(a) and CQS-Q(a), while O(c) shows the lowest correlation (0.577) with CRI-R(a), meaning that O(c) represents the best complement to CRI-R(a) and Q(a) for an in-depth study of color quality.

摘要

在这封信件中,我们统计了影响颜色质量的主要属性,这些属性基于代表当前主流照明技术的 118 个光谱。显色指数(CRI)用于评估颜色逼真度,而颜色饱和度用于补充 CRI-R(a),越来越多的证据表明,评估光光谱不能忽视颜色偏好的输入。颜色饱和度通过我们的最佳颜色(O(c))指数进行评估,该指数通过计算给定光源下数据库中所有光谱下对象的(MacAdam)理论最大体积色域的代码进行计算。CRI-R(a)、(Y.Ohno 的)颜色质量尺度(CQS)和 O(c)的 Pearson 相关系数显示 CRI-R(a)和 CQS-Q(a)之间具有高度相关性(0.950),而 O(c)与 CRI-R(a)之间的相关性最低(0.577),这意味着 O(c)是 CRI-R(a)和 Q(a)的最佳补充,可深入研究颜色质量。

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